ALL-OPTICAL ON-BOARD NETWORKS PROTOCOLS

The article presents the concept of all-optical on-board networks (AOON). AOON protocol stack is described, the operation of the transport layer, data link layer and the management layer of the AOON protocol stack is considered in details. The article also describes a software model designed to check the correctness of operation of the AOON protocol stack from a functional point of view, and an example of the developed software model is provided.

Wireless HART stack using multiprocessor technique with laxity algorithm

The use of a real-time operating system is required for the demarcation of industrial wireless sensor network (IWSN) stacks (RTOS). In the industrial world, a vast number of sensors are utilised to gather various types of data. The data gathered by the sensors cannot be prioritised ahead of time. Because all of the information is equally essential. As a result, a protocol stack is employed to guarantee that data is acquired and processed fairly. In IWSN, the protocol stack is implemented using RTOS. The data collected from IWSN sensor nodes is processed using non-preemptive scheduling and the protocol stack, and then sent in parallel to the IWSN's central controller. The real-time operating system (RTOS) is a process that occurs between hardware and software. Packets must be sent at a certain time. It's possible that some packets may collide during transmission. We're going to undertake this project to get around this collision. As a prototype, this project is divided into two parts. The first uses RTOS and the LPC2148 as a master node, while the second serves as a standard data collection node to which sensors are attached. Any controller may be used in the second part, depending on the situation. Wireless HART allows two nodes to communicate with each other.

A Framework for Fully Automated Home using IoT Reliable Protocol Stack and Smart Gateway

A fully automated house must ensure all the appliances must be connection and provide a smart way of working for the human. The insight of Internet of Things (IoT) network provision the necessary platform to implement the automated home. The proposed system emphasizes, how all the appliances would be connected to IoT to ensure fully automated home. In this framework the smart home has been divided into various areas like smart kitchen, smart gardening, home safety and security system, and smart lightning system. The reliable protocol stack has been utilized to provide efficient communication along with proper security measures. The reliable protocol suite works on top of MQTT and TCP to ensure reliable communication. The smart gateway utilized for this framework and provides firewall security as with a two-phase filtering mechanism as well as scalability. among all the appliances in the home.

A LoRa-Based Mesh Network for Peer-to-Peer Long-Range Communication

LoRa is a long-range and low-power radio technology largely employed in Internet of Things (IoT) scenarios. It defines the lower physical layer while other protocols, such as LoRaWAN, define the upper layers of the network. A LoRaWAN network assumes a star topology where each of the nodes communicates with multiple gateways which, in turn, forward the collected data to a network server. The main LoRaWAN characteristic is the central role of the gateways; however, in some application scenarios, a much lighter protocol stack, relying only on node capabilities and without the presence of gateways, can be more suitable. In this paper, we present a preliminary study for realizing a LoRa-based mesh network, not relying on LoRaWAN, that implements a peer-to-peer communication between nodes, without the use of gateways, and extends node reachability through multi-hop communication. To validate our investigations, we present a hardware/software prototype based on low-power-consumption devices, and we preliminarily assess the proposed solution.

Fully mobile functional brain spectroscopy using near-infrared light and wireless networks

This thesis presents research that creates a mobile solution to monitor human brain functions during real-life activities. The solution utilizes the Internet, the Global Standard for Mobile Communication (GSM) wireless networks, Bluetooth technology, and a number of data protocols. It consists of three main parts: 1. a Bluetooth portable near-infratred light sensor, 2. a personal digital assistant (PDA), and 3. a personal computer (PC). The near real time data acquisition is performed by the sensor while mobility is provided by the GSM PDA. The data is sent over a multi-protocol stack until it reaches the final destination PC. The system provides a light-weight, tissue hemoglobin monitoring system for real-life situations not restricted to a lab.